Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. An information processing apparatus comprising: a determination unit configured to determine whether to display a recommendation to a user who uses a terminal to execute a recommended action corresponding to an action executed by at least one different user of a plurality of different users who uses at least one different terminal, based on a total value of relationship points for the at least one different user, wherein the total value of the relationship points indicates a sum of each respective relationship point value calculated based on a relationship between the user and each respective different user of the at least one different user according to whether the respective different user is directly related to the user or indirectly related to the user, and acquire a determination result; and an output control unit configured to perform control in a manner such that display of information corresponding to the determination result and the action executed by the at least one different user of the plurality of different users is performed, wherein respective relationship point values are determined according to relationships between users in a social networking service, wherein each different user that is indirectly related to the user is determined to be directly related to a different user that is also directly related to the user, wherein a respective relationship point value for each different user that is directly related to the user is greater than a respective relationship point value for each different user that is indirectly related to the user, and wherein the determination unit and the output control unit are each implemented via at least one processor.
This invention relates to an information processing apparatus designed to recommend actions to users based on the actions of other users in a social networking service, considering the strength of their relationships. The apparatus determines whether to display a recommendation to a user by calculating a total value of relationship points for other users who have executed a particular action. These relationship points are assigned based on whether the other users are directly or indirectly related to the user. Directly related users (e.g., friends or followers) receive higher relationship point values than indirectly related users (e.g., friends of friends). The total value is used to decide whether to recommend the action to the user. If the determination result is positive, the apparatus controls the display of information about the action, allowing the user to see what others in their network have done. The system is implemented using at least one processor to handle the determination and output control functions. This approach ensures recommendations are more relevant by prioritizing actions from users with stronger connections.
2. The information processing apparatus according to claim 1 , wherein the action executed by the at least one different user of the plurality of different users is performed on the at least one different terminal.
This invention relates to an information processing apparatus designed to manage and analyze user actions across multiple terminals. The apparatus addresses the challenge of tracking and correlating user activities when multiple users interact with different devices, ensuring accurate data collection and processing. The system includes a processing unit that identifies and records actions performed by different users on distinct terminals. These actions are then analyzed to derive insights, such as user behavior patterns or system performance metrics. The apparatus ensures that actions executed by each user on their respective terminals are properly attributed, preventing data misalignment. This is particularly useful in environments where multiple users operate separate devices, such as in collaborative workspaces or multi-user computing systems. The apparatus may also include features to synchronize data across terminals, ensuring consistency and reliability in the collected information. By distinguishing actions based on user identity and terminal origin, the system enhances data accuracy and enables more effective decision-making. The invention is applicable in fields like enterprise software, cloud computing, and user behavior analytics, where tracking cross-terminal interactions is critical.
3. The information processing apparatus according to claim 2 , wherein the action executed on the at least one different terminal by the at least one different user of the plurality of different users includes at least a recording reservation of content.
This invention relates to an information processing apparatus that facilitates collaborative content management and recording reservations across multiple users and terminals. The apparatus enables a user to execute actions on a terminal, which are then reflected on at least one different terminal used by a different user. Specifically, the apparatus allows a user to perform a recording reservation of content, such as a television program or multimedia file, and this reservation is automatically synchronized and executed on another terminal associated with a different user. The system ensures that the recording reservation is carried out on the appropriate terminal, even if the user initiating the action is not directly operating that terminal. The apparatus may also include features for managing user permissions, ensuring that only authorized users can perform or modify recording reservations. The invention addresses the need for seamless collaboration in content management, particularly in environments where multiple users share access to different devices but require coordinated recording schedules. The apparatus streamlines the process of setting up and managing recordings across multiple terminals, reducing the need for manual coordination between users.
4. The information processing apparatus according to claim 2 , wherein the action executed on the at least one different terminal by the at least one different user of the plurality of different users includes at least viewing of content.
This invention relates to an information processing apparatus that facilitates collaborative content viewing among multiple users across different terminals. The apparatus enables a user to share content with other users, where each user can independently view the content on their own terminal. The system allows for real-time or asynchronous viewing, where actions taken by one user, such as navigating through the content, are optionally synchronized or reflected on other users' terminals. The apparatus may also track and record user interactions, such as viewing progress, annotations, or comments, to enhance collaboration. The invention addresses the need for seamless, multi-user content sharing in environments where users may access content from different devices or locations, ensuring consistent and coordinated viewing experiences. The apparatus may include features like access control, user authentication, and content management to manage permissions and ensure secure sharing. The system is particularly useful in educational, business, or entertainment settings where collaborative viewing is required.
5. The information processing apparatus according to claim 2 , wherein the action executed on the at least one different terminal by the at least one different user of the plurality of different users includes at least any one of an action to be executed according to a reservation, a currently executed action, or an already executed action.
This invention relates to an information processing apparatus designed to manage and coordinate actions performed by multiple users across different terminals. The system addresses the challenge of tracking and synchronizing user activities in distributed environments, ensuring that actions are properly logged, monitored, and executed according to predefined schedules or real-time interactions. The apparatus includes a communication interface for exchanging data with multiple terminals, each associated with different users. It also features a processing unit that identifies and categorizes actions performed by these users. These actions may include reserved actions (scheduled for future execution), currently ongoing actions, or previously completed actions. The system processes this data to maintain an accurate record of user activities, enabling better coordination and oversight in collaborative or multi-user environments. The invention ensures that actions are properly tracked regardless of their execution state, whether they are pending, active, or completed. This capability is particularly useful in scenarios where multiple users interact with shared resources or systems, requiring precise tracking of actions to maintain consistency and avoid conflicts. The apparatus may be applied in various domains, including collaborative workspaces, multi-user applications, or distributed computing systems, where action tracking and synchronization are critical.
6. The information processing apparatus according to claim 1 , wherein when the total value of the relationship points is equal to or greater than a threshold, the determination unit makes a determination to display the recommendation to the user to execute the recommended action corresponding to the action executed by the at least one different user of the plurality of different users.
This invention relates to an information processing apparatus that recommends actions to users based on the behavior of other users. The apparatus identifies relationships between users and calculates relationship points based on these connections. When the total relationship points between a user and at least one other user reach or exceed a predefined threshold, the system determines that a recommendation should be displayed. The recommendation prompts the user to execute an action that was previously performed by the connected user(s). The apparatus analyzes user interactions, such as shared activities or direct connections, to establish these relationships. The recommendation mechanism encourages users to adopt actions that are relevant to their social or behavioral context, enhancing engagement and personalization. The system dynamically adjusts recommendations based on the strength of user relationships, ensuring that suggestions are contextually appropriate. This approach leverages social influence to guide user behavior, improving the relevance and effectiveness of recommendations in digital platforms.
7. The information processing apparatus according to claim 6 , further comprising: an adjustment unit configured to adjust a predetermined parameter according to a number of different users directly related to the user among the plurality of different users, wherein the adjustment unit is implemented via at least one processor.
This invention relates to an information processing apparatus designed to manage and process user data in a multi-user environment. The apparatus addresses the challenge of optimizing system performance and user experience by dynamically adjusting parameters based on the social or relational context of users. Specifically, the apparatus includes a unit that modifies a predetermined parameter in response to the number of distinct users directly connected to or associated with a given user within a larger group of users. This adjustment is performed by at least one processor to ensure efficient resource allocation and personalized interactions. The apparatus may also include a detection unit that identifies the presence of a user and a determination unit that assesses whether the user is a new or returning individual. These components work together to enhance system adaptability, ensuring that the apparatus can tailor its operations to the evolving needs of its user base. The dynamic adjustment of parameters based on user relationships improves system efficiency, personalization, and overall performance in environments where user interactions are frequent and varied.
8. The information processing apparatus according to claim 7 , wherein the adjustment unit adjusts the threshold according to the number of different users directly related to the user among the plurality of different users.
This invention relates to an information processing apparatus designed to manage and analyze user interactions within a networked system. The apparatus addresses the challenge of dynamically adjusting thresholds for determining user relationships based on the number of distinct users directly connected to a given user. The system includes a storage unit that retains information about user relationships, a calculation unit that computes relationship strengths between users, and an adjustment unit that modifies thresholds used to evaluate these relationships. The adjustment unit dynamically adjusts these thresholds based on the number of different users directly linked to a specific user, ensuring accurate and scalable relationship assessments. This adaptive approach improves the precision of user relationship analysis in systems where user connections vary widely in quantity and complexity. The apparatus ensures that relationship thresholds remain relevant and effective, even as the network of user interactions grows or changes. This solution is particularly useful in social networks, recommendation systems, or any application requiring dynamic relationship modeling.
9. The information processing apparatus according to claim 8 , wherein, when the number of different users directly related to the user among the plurality of different users exceeds an upper limit value, the adjustment unit increases the threshold.
This invention relates to an information processing apparatus designed to manage user relationships and access control in a networked system. The apparatus addresses the problem of efficiently handling user access permissions in environments where relationships between users can become overly complex, potentially leading to security risks or performance issues. The apparatus includes a storage unit that maintains data representing relationships between a user and multiple different users, where these relationships can be direct or indirect. An adjustment unit dynamically modifies a threshold value used to determine whether a user should be granted access to certain information or resources. Specifically, when the number of different users directly related to a user exceeds a predefined upper limit, the adjustment unit increases the threshold. This adjustment ensures that access permissions are tightened as the complexity of user relationships grows, thereby enhancing security and system stability. The apparatus may also include a calculation unit that computes the number of different users directly related to the user based on the stored relationship data. Additionally, a determination unit evaluates whether the computed number exceeds the upper limit, triggering the adjustment unit to modify the threshold accordingly. This dynamic adjustment mechanism helps maintain balanced access control in systems with evolving user networks.
10. The information processing apparatus according to claim 7 , wherein the adjustment unit adjusts each relationship point indicating the relationship between the user and each different user indirectly related to the user among the plurality of different users according to the number of different users directly related to the user among the plurality of different users.
This invention relates to an information processing apparatus designed to manage and adjust relationship data in a social or networked system. The apparatus addresses the challenge of accurately representing indirect relationships between users in a network, where direct connections (e.g., friends, followers) may not fully capture the strength or relevance of indirect connections (e.g., friends of friends). The apparatus includes a storage unit that holds relationship data for a plurality of users, where each user has direct and indirect relationships with others. An adjustment unit dynamically modifies relationship points assigned to indirect relationships based on the number of direct relationships a user has. For example, if a user has many direct connections, the relationship points for their indirect connections may be adjusted to reflect a broader or more diluted influence. Conversely, if a user has few direct connections, their indirect relationships may be weighted more heavily to emphasize closer or more significant connections. This adjustment ensures that the relationship data remains meaningful and scalable, avoiding distortions where highly connected users might otherwise overshadow less connected ones. The apparatus may also include a display unit to visualize these adjusted relationships, helping users or administrators better understand network dynamics. The system is particularly useful in social networks, recommendation systems, or any application requiring nuanced relationship modeling.
11. The information processing apparatus according to claim 7 , wherein, when the number of different users directly related to the user among the plurality of different users exceeds an upper limit value, the adjustment unit decreases each relationship point indicating the relationship between the user and a different user indirectly related to the user among the plurality of different users.
This invention relates to an information processing apparatus designed to manage and adjust relationship points between users in a social network or similar system. The problem addressed is the need to control the number of direct relationships a user can have, while dynamically adjusting indirect relationships to maintain system balance. The apparatus includes a storage unit that stores relationship points between a user and multiple different users, where these relationships can be direct or indirect. A determination unit identifies whether the number of different users directly related to the user exceeds a predefined upper limit. If it does, an adjustment unit reduces the relationship points for indirect relationships, effectively weakening those connections to prioritize direct relationships. The system ensures that a user's direct connections remain manageable while indirectly connected users are deprioritized. This helps prevent overcrowding in a user's network and maintains a balanced relationship structure. The adjustment is automated, ensuring real-time management of relationship points without manual intervention. The invention is particularly useful in social networks, recommendation systems, or any platform where user relationships influence data processing or content delivery.
12. The information processing apparatus according to claim 7 , wherein, when the number of different users directly related to the user among the different users falls below a lower limit value, the adjustment unit increases each relationship point indicating the relationship between the user and a different user indirectly related to the user among the plurality of different users.
This invention relates to an information processing apparatus that manages and adjusts relationship points between users in a social network or similar system. The problem addressed is maintaining meaningful connections when a user has too few direct relationships, which can lead to a sparse or fragmented network. The apparatus includes a storage unit that stores relationship points between a user and multiple different users, where these relationships can be direct or indirect. An adjustment unit monitors the number of direct relationships a user has and, if this number falls below a predefined lower limit, increases the relationship points for indirect relationships. This ensures that even if a user has few direct connections, their network remains robust by strengthening indirect ties. The system may also include a calculation unit that determines relationship points based on factors like interaction frequency or shared attributes, and a display unit that presents these relationships to users. The invention aims to enhance user engagement and network stability by dynamically adjusting relationship strengths in response to changes in direct connections.
13. The information processing apparatus according to claim 6 , further comprising: an adjustment unit configured to adjust a predetermined parameter based on a history of actions executed by the user in the past, wherein the adjustment unit is implemented via at least one processor.
This invention relates to an information processing apparatus designed to enhance user interaction by dynamically adjusting system parameters based on historical user actions. The apparatus includes a processor-implemented adjustment unit that analyzes past user behavior to modify system settings, improving efficiency and personalization. The system tracks user actions over time, such as input patterns, command sequences, or application usage, to identify trends and preferences. The adjustment unit then modifies parameters like response thresholds, interface layouts, or processing priorities to align with the user's habits. This adaptive approach reduces manual configuration and optimizes performance for individual workflows. The apparatus may integrate with other components, such as input/output interfaces or data storage systems, to gather and apply user history data. By automating parameter adjustments, the system minimizes user effort while maintaining responsiveness to evolving usage patterns. The invention is particularly useful in environments where user behavior varies over time, such as productivity software, gaming systems, or smart devices. The adjustment unit operates in real-time or periodically to ensure continuous adaptation to user needs.
14. The information processing apparatus according to claim 13 , wherein the adjustment unit adjusts the threshold for the total value of the relationship points based on the history of the actions executed by the user in the past.
This invention relates to an information processing apparatus that evaluates user actions based on relationship points, which quantify the strength of relationships between users or between users and content. The apparatus includes a calculation unit that computes relationship points for each action a user performs, an accumulation unit that totals these points, and a determination unit that compares the total against a threshold to decide whether to execute a specific action. The apparatus also includes an adjustment unit that dynamically modifies this threshold based on the user's past action history. By analyzing historical data, the adjustment unit can raise or lower the threshold to ensure the system responds appropriately to the user's behavior patterns, improving decision-making accuracy. This adaptive thresholding mechanism helps balance responsiveness and precision in action execution, particularly in social networking, recommendation systems, or collaborative filtering applications where relationship strength influences outcomes. The invention aims to enhance user experience by personalizing thresholds according to individual usage trends, reducing false positives or negatives in action triggering.
15. The information processing apparatus according to claim 6 , wherein the threshold is determined according to a number of different users among the plurality of different users that are directly related to the user.
This invention relates to an information processing apparatus designed to manage and analyze user relationships within a network. The apparatus addresses the challenge of efficiently determining thresholds for user interactions based on the diversity of connections a user has. The system identifies a user and evaluates their direct relationships with multiple other users. The threshold, which likely governs interaction limits, access permissions, or data sharing rules, is dynamically adjusted based on the number of distinct users directly connected to the primary user. This ensures that the threshold adapts to the user's social or professional network size, optimizing system performance and security. The apparatus may also include features for tracking user interactions, categorizing relationships, and applying the threshold to control access or data flow. The dynamic threshold mechanism prevents overloading the system while maintaining personalized and scalable user experiences. This approach is particularly useful in social networks, collaborative platforms, or enterprise systems where user relationships vary widely. The invention enhances efficiency by tailoring thresholds to individual network sizes, reducing unnecessary processing and improving resource allocation.
16. The information processing apparatus according to claim 1 , wherein the relationships between users in the social networking service are determined according to social graphs between the users.
This invention relates to an information processing apparatus for managing user relationships in a social networking service. The apparatus analyzes and determines the relationships between users based on social graphs, which represent connections and interactions among users. The social graphs include data such as friendships, shared content, and communication patterns, allowing the apparatus to infer the strength and nature of relationships. By leveraging these graphs, the apparatus can identify key influencers, detect communities, and recommend connections. The system may also track changes in relationships over time, enabling dynamic updates to the social network structure. This approach enhances user engagement by providing personalized recommendations and improving the accuracy of relationship-based features. The apparatus may integrate with existing social networking platforms to process and visualize the social graph data, facilitating better decision-making for both users and administrators. The invention addresses the challenge of accurately modeling complex social interactions in digital networks, improving the relevance and utility of social networking services.
17. An information processing method comprising: determining whether to display a recommendation to a user who uses a terminal to execute a recommended action corresponding to an action executed by at least one different user of a plurality of different users who uses at least one different terminal, based on a total value of relationship points for the at least one different user, wherein the total value of the relationship points indicates a sum of each respective relationship point value calculated based on a relationship between the user and each respective different user of the at least one different user according to whether the respective different user is directly related to the user or indirectly related to the user; acquiring a determination result; and performing control in a manner such that display of information corresponding to the determination result and the action executed by the at least one different user of the plurality of different users is performed, wherein respective relationship point values are determined according to relationships between users in a social networking service, wherein each different user that is indirectly related to the user is determined to be directly related to a different user that is also directly related to the user, and wherein a respective relationship point value for each different user that is directly related to the user is greater than a respective relationship point value for each different user that is indirectly related to the user.
This invention relates to an information processing method for recommending actions to users based on the actions of other users in a social networking service. The method addresses the challenge of providing relevant recommendations by considering the strength of relationships between users, ensuring that recommendations are more likely to be useful and engaging. The method determines whether to display a recommendation to a user by evaluating the total value of relationship points associated with other users who have performed a specific action. Relationship points are calculated based on the nature of the relationship between the user and each other user—direct relationships (e.g., friends or followers) are assigned higher point values than indirect relationships (e.g., friends of friends). The total value is used to decide whether to recommend the action to the user. If the determination result indicates a recommendation should be displayed, the system controls the display of information related to the action performed by the other users. The method ensures that recommendations are influenced by the strength of social connections, prioritizing actions from users with stronger direct relationships over those with weaker indirect relationships. This approach enhances recommendation relevance by leveraging social network dynamics.
18. A terminal comprising: an acquisition unit configured to acquire a determination result indicating whether to display a recommendation to a user who uses the terminal to execute a recommended action corresponding to an action executed by at least one different user of the plurality of different users who uses at least one different terminal, based on a total value of relationship points for the at least one different user, wherein the total value of the relationship points indicates a sum of each respective relationship point value calculated based on a relationship between the user and each respective different user of the at least one different user according to whether the respective different user is directly related to the user or indirectly related to the user; and a display control unit configured to perform control in a manner such that display of information corresponding to the determination result and the action executed by the at least one different user of the plurality of different users is performed, wherein respective relationship point values are determined according to relationships between users in a social networking service, wherein each different user that is indirectly related to the user is determined to be directly related to a different user that is also directly related to the user, wherein a respective relationship point value for each different user that is directly related to the user is greater than a respective relationship point value for each different user that is indirectly related to the user, and wherein the acquisition unit and the display control unit are each implemented via at least one processor.
A terminal system provides personalized recommendations to users based on actions taken by other users in a social network, prioritizing recommendations from users with stronger social connections. The system calculates relationship points for each user in the network, assigning higher values to directly connected users (e.g., friends) and lower values to indirectly connected users (e.g., friends of friends). The total relationship points for a group of users are summed to determine whether to display a recommendation to the target user. If the total meets a threshold, the system displays information about the recommended action, along with details of the users who performed it. The recommendation logic ensures that suggestions are more relevant by weighting contributions from closer social connections more heavily. The system is implemented using processors to acquire relationship data and control display outputs, enabling dynamic, context-aware recommendations within social networking platforms. This approach improves user engagement by leveraging social proximity to filter and prioritize actionable suggestions.
19. A control method comprising: acquiring a determination result indicating whether to display a recommendation to a user who uses a terminal to execute a recommended action corresponding to an action executed by at least one different user of a plurality of different users who uses at least one different terminal, based on a total value of relationship points for the at least one different user, wherein the total value of the relationship points indicates a sum of each respective relationship point value calculated based on a relationship between the user and each respective different user of the at least one different user according to whether the respective different user is directly related to the user or indirectly related to the user; and performing control in a manner such that display of information corresponding to the determination result and the action executed by the at least one different user of the plurality of different users is performed, wherein respective relationship point values are determined according to relationships between users in a social networking service, wherein each different user that is indirectly related to the user is determined to be directly related to a different user that is also directly related to the user, and wherein a respective relationship point value for each different user that is directly related to the user is greater than a respective relationship point value for each different user that is indirectly related to the user.
This invention relates to a control method for recommending actions to users based on the actions of other users in a social networking service, where the recommendations are influenced by the strength of relationships between users. The method determines whether to display a recommendation to a user by analyzing the total value of relationship points associated with other users who have executed a particular action. Relationship points are calculated based on whether each other user is directly or indirectly related to the user. Directly related users (e.g., friends or followers) are assigned higher relationship point values than indirectly related users (e.g., friends of friends). The total value of these points determines whether a recommendation is displayed. The method then controls the display of information corresponding to the determination result and the action executed by the other users. The system leverages social network relationships to prioritize recommendations from closer connections, ensuring more relevant and personalized suggestions. This approach enhances user engagement by tailoring recommendations based on the strength of social ties.
20. A non-transitory computer-readable medium having embodied thereon a program, which when executed by a computer causes the computer to execute a method, the method comprising: acquiring a determination result indicating whether to display a recommendation to a user who uses a terminal to execute a recommended action corresponding to an action executed by at least one different user of a plurality of different users who uses at least one different terminal, based on a total value of relationship points for the at least one different user, wherein the total value of the relationship points indicates a sum of each respective relationship point value calculated based on a relationship between the user and each respective different user of the at least one different user according to whether the respective different user is directly related to the user or indirectly related to the user; and performing control in a manner such that display of information corresponding to the determination result and the action executed by the at least one different user of the plurality of different users is performed, wherein respective relationship point values are determined according to relationships between users in a social networking service, wherein each different user that is indirectly related to the user is determined to be directly related to a different user that is also directly related to the user, and wherein a respective relationship point value for each different user that is directly related to the user is greater than a respective relationship point value for each different user that is indirectly related to the user.
This invention relates to a system for recommending actions to users based on the actions of other users in a social network, where recommendations are prioritized according to the strength of relationships between users. The system calculates a total relationship score for each user by summing individual relationship point values, which are assigned based on whether a user is directly or indirectly connected to the target user. Direct relationships (e.g., friends or followers) receive higher point values than indirect relationships (e.g., friends of friends). The system then determines whether to display a recommendation to a user by evaluating the total relationship score of the users whose actions are being considered. If the score meets a threshold, the system displays information about the recommended action, which corresponds to an action previously performed by one or more other users. The recommendation mechanism leverages social network connections to provide personalized suggestions, ensuring that actions from closely connected users are prioritized over those from distant connections. This approach enhances relevance by weighting recommendations based on relationship strength, improving user engagement and action adoption.
Unknown
November 24, 2020
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